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extract_into_tensor

Syntologyentry name in harvested coderead from the graph 2026-09-24

extract_into_tensor appears in the code Syntology harvested for 33 papers, as 8 distinct code bodies found in 33 places (a place is one code body under one paper). At least one of them ran in 33 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named extract_into_tensor do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 8 of the 8 distinct code bodies named extract_into_tensor; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
5ran
0unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 33 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

33 papers shown of 33, newest first; 33 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion 10 Mar 2025 iva-mzsun/AR-Diffusion/src/ardiff/modules/diffusion.py 425085c2b8efe80d ran · our draft was wrong no licence file found · pointer only
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think 2 Mar 2025 Chuge0335/EDG/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong MIT (permissive)
StereoCrafter-Zero: Zero-Shot Stereo Video Generation with Noisy Restart 21 Nov 2024 shijianjian/stereocrafter-zero/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design 8 Oct 2024 Ji4chenLi/t2v-turbo/scheduler/t2v_turbo_scheduler.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis 3 Sep 2024 drexubery/viewcrafter/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance 2 Sep 2024 RedAIGC/Target-Driven-Distillation/train/FLUX/train_tdd.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation 18 Jul 2024 LMozart/ECCV2024-GCS-BEG/guidance/solver.py a15cfd7932844ef9 ran · our draft was wrong MIT (permissive)
Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning 9 Jul 2024 wfanyue/DPG-T2I-Personalization/diffusion_utils.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models 24 Jun 2024 arthur-qiu/freetraj/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation 4 Jun 2024 gojasper/flash-diffusion/src/flash/models/utils.py 2d0e517ee45c570d ran licence not identified · pointer only
CV-VAE: A Compatible Video VAE for Latent Generative Video Models 30 May 2024 ailab-cvc/cv-vae/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
FIFO-Diffusion: Generating Infinite Videos from Text without Training 19 May 2024 jjihwan/FIFO-Diffusion_public/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption 17 Apr 2024 boycehbz/humaninteraction/model/utils.py 221b8f4c28b8b95a ran MIT (permissive)
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis 20 Mar 2024 boschresearch/VSTAR/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong AGPL-3.0 (copyleft) · pointer only
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs 19 Mar 2024 Luo-Yihong/YOSO/train_yoso_lora.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation 13 Mar 2024 tmlr-group/NoiseDiffusion/controlnet/cm.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation 7 Mar 2024 PixArt-alpha/PixArt-sigma/train_scripts/train_pixart_lcm.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data 1 Feb 2024 g-u-n/animatelcm/animatelcm_svd/animate_lcm_utils.py a15cfd7932844ef9 ran · our draft was wrong MIT (permissive)
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models 17 Jan 2024 ailab-cvc/videocrafter/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models 10 Jan 2024 PixArt-alpha/PixArt-alpha/train_scripts/train_pixart_lcm.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
On Inference Stability for Diffusion Models 19 Dec 2023 vinairesearch/sa-dpm/functions/losses.py cc45f50a2bd93ac1 ran AGPL-3.0 (copyleft) · pointer only
PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images 13 Dec 2023 warmongeringbeaver/phendiff/src/utils_misc.py cf65f5bdaeb6f0e9 ran no licence file found · pointer only
PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation 7 Dec 2023 frozenburning/primdiffusion/primdiffusion/model/primitive_diffusion.py a15cfd7932844ef9 ran · our draft was wrong no licence file found · pointer only
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation 6 Dec 2023 TencentARC/MotionCtrl/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation 4 Dec 2023 prs-eth/marigold/src/trainer/marigold_depth_LCM_trainer.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter 1 Dec 2023 GongyeLiu/StyleCrafter/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution 27 Nov 2023 xpixelgroup/diffbir/diffbir/model/gaussian_diffusion.py 2fac110f5991fe84 ran Apache-2.0 (permissive)
DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors 18 Oct 2023 Doubiiu/DynamiCrafter/lvdm/common.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
Interpolating between Images with Diffusion Models 24 Jul 2023 clintonjwang/controlnet/cm.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models 29 Jan 2023 haoheliu/AudioLDM/audioldm/ldm.py 8971042e12016a60 ran · our draft was wrong licence not identified · pointer only
High-Resolution Image Editing via Multi-Stage Blended Diffusion 24 Oct 2022 pfnet-research/multi-stage-blended-diffusion/multi-scale-blended-diffusion/ldm/models/diffusion/ddim.py a15cfd7932844ef9 ran · our draft was wrong MIT (permissive)
Make It Move: Controllable Image-to-Video Generation with Text Descriptions 6 Dec 2021 youncy-hu/mage/utils/util.py a15cfd7932844ef9 ran · our draft was wrong Apache-2.0 (permissive)
Denoising Diffusion Probabilistic Models 19 Jun 2020 identical code first harvested elsewhere a15cfd7932844ef9 ran · our draft was wrong licence of this copy not recorded

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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